INTERAÇÃO EM AULAS SÍNCRONAS: ASPECTOS POR TRÁS DAS ESCOLHAS DE ALUNOS DO CURSO DE CIÊNCIAS CONTÁBEIS

Autores

DOI:

https://doi.org/10.4270/ruc.2023103

Palavras-chave:

Interação, Estudantes, Ciências Contábeis, Aula síncrona, Ensino remoto emergencial

Resumo

O estudo busca identificar os fatores que promoveram a interação de alunos de Ciências Contábeis de uma Instituição de Ensino Superior (IES) pública do Sul do Brasil nas aulas síncronas. Para que isso fosse possível, realizou-se uma investigação por meio de variáveis quantitativas coletadas com a aplicação de um questionário online a 50 alunos. Os dados coletados foram analisados no software SPSS, a partir de estatística descritiva, coeficiente de Alfa de Cronbach, teste de normalidade Kolmogorov-Smirnov e Correlação de Spearman. O estudo focou nas formas de interação aluno-conteúdo, aluno-professor e aluno-aluno apresentadas por Moore (1989). Os resultados apontaram que as estratégias de ensino adotadas pelo professor é o principal fator que promove as formas de interação. Por outro lado, as responsabilidades pessoais dos alunos, como família, trabalho e tarefas de casa durante a aula síncrona são fatores que prejudicam as interações. O principal achado do estudo reforça a necessidade de os professores adotarem métodos de ensino adequados para a realidade dos alunos e que atendam suas necessidades, buscando utilizar ferramentas tecnológicas distintas e que engajem o aluno no processo de ensino-aprendizagem. O estudo contribui para a identificação de aspectos que influenciam a interação do aluno com o conteúdo, com o professor e com seus colegas, além de demonstrar a relevância do professor na promoção dessas interações durante a aula síncrona e a necessidade de tornar esse tipo de aula mais proveitosa e interessante para os alunos, o engajando no processo de ensino-aprendizagem e melhorando o seu desempenho, bem como a qualidade do ensino de Contabilidade.

Downloads

Não há dados estatísticos.

Biografia do Autor

Aline Vitória Silva da Silva, Universidade Federal do Rio Grande (FURG)

Graduanda em Ciências Contábeis pela Universidade Federal do Rio Grande - FURG

Referências

Abou-Khalil, V., Helou, S., Khalifé, E., Chen, M. A., Majumdar, R., & Ogata, H. (2021). Emergency online learning in low-resource settings: Effective student engagement strategies. Education Sciences, 11(1), 24.

Anderson, T. (2003). Getting the mix right again: An updated and theoretical rationale for interaction. International Review of Research in Open and Distance Learning, 4(2), 126-141.

Astudillo, M., Leguízamo-León, A. V., & Calleja, E. G. (2021). Oportunidades do novo espaço educativo para a educação superior: Terceiro entorno digital. Revista Internacional de Educação Superior, 8(00), 1-22, 2021.

Basaran, B., & Yalman, M. (2020). Examining university students’ attitudes towards using web-conferencing systems in distance learning courses: A study on scale development and application. Knowledge management & e-learning, 12(2), 209-230.

Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational research, 79(3), 1243-1289.

Castelli, F. R., & Sarvary, M. A. (2021). Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so. Ecology and Evolution, 11(8), 3565-3576.

Castioni, R., Melo, A. A. S., Nascimento, P. M., & Ramos, D. L. (2021). Universidades federais na pandemia da Covid-19: acesso discente à internet e ensino remoto emergencial. Ensaio, 29(111), 399-419.

Cavinato, A. G., Hunter, R. A., Ott, L. S., & Robinson, J. K. (2021). Promoting student interaction, engagement, and success in an online environment. Analytical and Bioanalytical Chemistry, 413(6), 1513-1520.

Cetinkaya, S. E. (2020). Bringing classroom and outside world together: Mobile instant messaging via WhatsApp[c] for extracurricular writing. Qualitative Report, 25(12), 4319.

Cohen, J. (1992). Statistical power analysis. Current directions in psychological science, 1(3), 98-101.

Ekwunife-Orakwue, K. C. V., & Teng, T. (2014). The impact of transactional distance dialogic interactions on student learning outcomes in online and blended environments. Computers & Education, 78, 414-427.

Fávero, L. P., & Belfiore, P. (2017). Manual de análise de dados – estatística e modelagem multivariada com Excel®, SPSS® e Stata®. Rio de Janeiro: Elsevier.

Gillespie, M. (2005). Student-teacher connection: a place of possibility. Journal of advanced nursing, 52(2), 211-219.

Greener, S. (2021). Exploring remote distance learning: what is it and should we keep it? Interactive learning environments, 29(1), 1-2.

Hair Junior, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. 8a. ed. United Kingdom: Cengage Learning.

Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., Al-Daghestani, A., & Al-Habashneh, S. (2021). University students’ interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International journal of educational management, 35(3), 713-725.

He, L., Yang, N., Xu, L., Ping, F., Li, W., Sun, Q., Li, Y., Zhu, H., & Zhang, H. (2021). Synchronous distance education vs traditional education for health science students: A systematic review and meta‐analysis. Medical Education, 55(3), 293-308.

Hiltz, S. R., & Turoff, M. (2002). What makes learning networks effective? Communications of the ACM, 45(4), 56-59.

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 27(1), 1-9.

Hung, J. C., Chiang, K., Huang, Y., & Lin, K. (2017). Augmenting teacher-student interaction in digital learning through affective computing. Multimedia Tools and Applications, 76(18), 18361-18386.

Iglesias-Pradas, S., Hernández-García, A., Chaparro-Peláez, J., & Pietro, J. L. (2021). Emergency remote teaching and students’ academic performance in higher education during the COVID-19 pandemic: A case study. Computers in Human Behavior, 119, 106713.

Jones, E. V., Shepler, C. G., & Evans, M. J. (2021). Synchronous online-delivery: A novel approach to online lab instruction. Journal of Chemical Education, 98(3), 850-857.

Joughin, G., Boud, D., Dawson, P., & Tai, J. (2021). What can higher education learn from feedback seeking behaviour in organisations? Implications for feedback literacy. Assessment & Evaluation in Higher Education, 46(1), 80-91.

Kasch, J., Rosmalen, P. V., & Kalz, M. (2020). Educational scalability in MOOCs: Analysing instructional designs to find best practices. Computers & Education, 161, 104054.

Kayaduman, H. (2021). Student interactions in a flipped classroom‐based undergraduate engineering statistics course. Computer Applications in Engineering Education, 29(4), 969-978.

La Peña, D., Lizcano, D., & Martínez-Álvarez, I. (2021). Learning through play: Gamification model in university-level distance learning. Entertainment Computing, 39, 100430.

Lall, S., & Singh, N. (2020). CoVid-19: Unmasking the new face of education. International Journal of Research in Pharmaceutical Sciences, 11(01) (SPL), 48-53.

Madland, C., & Richards, G. (2016). Enhancing Student-Student Online Interaction: Exploring the Study Buddy Peer Review Activity. International Review of Research in Open and Distance Learning, 17(3), 157-175.

Marks, R. B., Sibley, S. D., & Arbaugh, J. B. (2005). A structural equation model of predictors for effective online learning. Journal of Management Education, 29(4), 531-563.

Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online learning journal, 22(1), 205-222.

Martin, F., Parker, M. A., & Deale, D. F. (2012). Examining interactivity in synchronous virtual classrooms. International Review of Research in Open and Distance Learning, 13(3).

Martins, G. A., & Theóphilo, C. R. (2009). Metodologia da investigação científica para ciências sociais aplicadas. 3. ed. São Paulo: Atlas.

Meulenbroeks, R. (2020). Suddenly fully online: A case study of a blended university course moving online during the Covid-19 pandemic. Heliyon, 6(12), e05728.

Mogavi, R. H., Zhao, Y., Haq, E. U., Hui, P., & Ma, X. (2021). Student barriers to active learning in synchronous online classes: Characterization, Reflections, and Suggestions. arXiv.org.

Moore, M. G. (1989). Three types of interaction. The Jornal of Distance Education, 3(2), 1-7.

Muzammil, M., Sutawijaya, A., & Harsasi, M. (2020). Investigating student in online learning: The role of student interaction and engagement in distance learning university. The Turkish Online Journal of Distance Education, 21, 88-96.

Nieuwoudt, J. E. (2020). Investigating synchronous and asynchronous class attendance as predictors of academic success in online education. Australasian Journal of Educational Technology, 36(3), 15-25.

Oliveira, C. A., & Amancio, J. R. S. (2021). Estratégias didáticas de professores no Ensino Remoto Emergencial (ERE) frente à pandemia da Covid-19: novos desafios, outros aprendizados. Devir Educação, 323-340.

Parrish, C. W., Williams, D. S., & Estis, J. M. (2021). Integrated online team‐based learning: Using synchronous engagement and asynchronous flexibility to implement TBL online. New Directions for Teaching and Learning, 2021(165), 91-105.

Pires, A. (2021). A Covid-19 e a Educação superior no Brasil: usos diferenciados das tecnologias de comunicação virtual e o enfrentamento das desigualdades educacionais. Educación, 30(58), 1-23.

Rahayu, W., Putra, M. D. K., Faturochman, L., Meiliasari, I., Sulaeman, E., & Koul, R. B. (2021). Development and validation of online classroom learning environment inventory (OCLEI): The case of Indonesia during the COVID‑19 pandemic. Learning Environments Research, 25(1), 1-17.

Reguera, E. A. M., & Lopez, M. (2021). Using a digital whiteboard for student engagement in distance education. Computers and Electrical Engineering, 93, 107268.

Revilla-Cuesta, V., Skaf, M., Varona, J. M., & Ortega-López, V. (2021). The outbreak of the COVID-19 pandemic and its social impact on education: Were engineering teachers ready to teach online? International Journal of Environmental Research and Public Health, 18(4), 2127.

Santos Júnior, V. B., & Monteiro, J. C. S. (2020). Educação e COVID-19: As tecnologias digitais mediando a aprendizagem em tempos de pandemia. Revista Encantar – Educação, Cultura e Sociedade, 2, 1-15.

Shi, Y., Tong, M., & Long, T. (2021). Investigating relationships among blended synchronous learning environments, students’ motivation, and cognitive engagement: A mixed methods study. Computers & Education, 168, 104193.

Schmitt, D. C., Bugalho, D. K., & Kruger, S. D. (2021). Percepções docentes e às estratégias de ensino-aprendizagem durante o isolamento social motivado pela Covid-19. Revista Catarinense de Ciência Contábil, 20(e3133), 1-19.

Soares, C. S., Guimarães, D. E. L., & Souza, T. V. (2021). Ensino remoto emergencial na percepção de alunos presenciais de Ciências Contábeis durante a pandemia de Covid-19. Revista Catarinense da Ciência Contábil, 20, e3182, 1-19.

Straub, S., & Rummel, N. (2020). Promoting interaction in online distance education: designing, implementing and supporting collaborative learning. Information and Learning Science, 121(5/6), 251-260.

Sugino, C. (2021). Student perceptions of a synchronous online cooperative learning course in a japanese women’s university during the COVID-19 pandemic. Education Sciences, 11(5), 231.

Teng, D. C., Chen, N., Kinshuk, U., & Leo, T. (2012). Exploring students’ learning experience in an international online research seminar in the Synchronous Cyber Classroom. Computers and Education, 58(3), 918-930.

Ulfa, S., & Fatawi, I. (2021). Predicting factors that influence students’ learning outcomes using learning analytics in online learning enviroment. International Journal of Emerging Technologies in Learning, 16(1), 4-17.

Warden, C. A., Stanworth, J. O., Ren, J. B., & Warden, A. R. (2013). Synchronous learning best practices: An action research study. Computers and Education, 63, 197-207.

Williams, K. M., & Corwith, A. (2021). Beyond bricks and mortar: The efficacy of online learning and community‑building at College Park Academy during the COVID‑19 pandemic. Education and Information Technologies, 26(5), 5055-5076.

World Health Organization. (2021). Considerations for quarantine of contacts of COVID-19 cases. Recuperado em 04 jul 2021 de: https://www.who.int/publications/i/item/WHO-2019-nCoV-IHR-Quarantine-2021.1.

Yarmand, M., Solyst, J., Klemmer, S., & Weibel, N. (2021). It feels like I am talking into a void: Understanding interaction gaps in synchronous online classrooms. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1-9.

Yoon, P., & Leem, J. (2021). The influence of social presence in online classes using virtual conferencing: Relationships between group cohesion, group efficacy, and academic performance. Sustainability, 13(4), 1988.

Yu, J., Huang, C., Han, Z., He, T., & Li, M. (2020). Investigating the influence of interaction on learning persistence in online settings: Moderation or mediation of academic emotions? International journal of environmental research and public health, 17(7), 2320.

Zhou, J., & Zhang, Q. (2021). A survey study on U.S. college students’ learning experience in COVID-19. Education Sciences, 11(5), 248.

Downloads

Publicado

2024-03-27

Edição

Seção

Seção Nacional